摘要
低孔低渗储层由于其地质条件复杂,压后产能变化大,影响产能的因素众多,因而产能预测难度较大。针对这一问题,以子洲气田二叠系山2气藏十六口井的数据为基础,采用无阻流量作为气井产能评价的指标,确定了影响产能的十个因素,然后分别运用灰色斜率关联法、主成份分析法和R型聚类分析法选取主要影响因素。虽然这三种方法确定的主要影响因素有所不同,但有效厚度、含气饱和度、储能系数和地层系数都排在前几位。最后综合比较三种方法得出影响这类储层气井产能的主要因素为有效厚度、含气饱和度、储能系数和地层系数。此结论对选井选层、压裂设计和压裂施工都有一定的指导意义。
Due to the complex geological condition and changeable productivity,there are many factors effect on the productivity in low porosity and low permeability reservoir.It is difficult to predict productivity.Aiming at this problem and based on the data of sixteen wells of s2 gas pool of Zizhou gas field,10 factors affecting the productivity are selected by using open flow potential as a evaluation index of the gas well productivity.Then we found the key factors by using the methods of grey slope relational analysis,principal component analysis and R cluster analysis.Although there are some differences in the key factors,effective thickness,gas saturation,storage coefficient and formation coefficient are in front.Finally comprehensive analysis indicates that the key factors effecting on the gas well productivity of the reservoir include effective thickness,gas saturation,storage coefficient and formation coefficient.This conclusion has some directive significances for wells and layers selection,fracturing design and fracturing operation.
出处
《物探化探计算技术》
CAS
CSCD
2012年第6期723-728,623-624,共6页
Computing Techniques For Geophysical and Geochemical Exploration
基金
国家科技重大专项支持(2008ZX05044)
关键词
子洲气田
气井产能
灰色斜率关联
主成份分析
R型聚类分析
Zizhou gas field
gas well productivity
grey slope relational analysis
principal component analysis
R cluster analysis